{"id":"W3091555448","doi":"10.1016/j.oceano.2020.09.004","title":"Assessment of wave energy in the Persian Gulf: An evaluation of the impacts of climate change","year":2020,"lang":"en","type":"article","venue":"Oceanologia","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Climate change; Significant wave height; Environmental science; Renewable energy; Climatology; Wave height; Greenhouse gas; Wave power; Wind wave; Wind power; Global warming; Representative Concentration Pathways; Climate model; Atmospheric sciences; Meteorology; Oceanography; Energy (signal processing); Geography; Geology; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008129071,0.0004533758,0.0002154527,0.001258987,0.0002795772,0.0008389645,0.0003241959,0.0004464013,0.0006346938],"category_scores_gemma":[0.0009437442,0.000122423,0.0005279907,0.001310662,0.0003516891,0.0007100543,0.0004362057,0.0003033046,0.00005882904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008437957,"about_ca_system_score_gemma":0.0007428476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02699136,"about_ca_topic_score_gemma":0.01992653,"domain_scores_codex":[0.9998042,0.00005507653,0.00001600671,0.00002984492,0.00005743045,0.00003747838],"domain_scores_gemma":[0.9995953,0.0001064277,0.00008966416,0.00002918697,0.0001414762,0.00003801525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003378821,0.0002690024,0.7162543,0.0001641515,0.0003590443,0.001338085,0.0002640597,0.2346564,0.007632209,0.001287625,0.0009053351,0.03653184],"study_design_scores_gemma":[0.00006181641,0.0003126602,0.6997722,0.00005543397,0.0001895624,0.0001996985,0.002217156,0.2896267,0.004431509,0.001097661,0.001985641,0.00004996635],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997807,0.000146942,0.0005608284,0.0001302767,0.00001218782,0.00001751011,0.0002997676,0.00001481254,0.001010853],"genre_scores_gemma":[0.9986546,0.0001740977,0.0006742933,0.0000194949,0.000008505936,0.00001040928,0.0002862272,0.000003095663,0.0001692665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02699136,"threshold_uncertainty_score":0.0536685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0664609765124973,"score_gpt":0.2758819197363044,"score_spread":0.2094209432238071,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}